Terada, Yoshikazu

1. Clustering for high-dimension, low-sample size data using distance vectors
   2013/12/12 by Terada, Yoshikazu · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Fast generalization error bound of deep learning without scale invariance of activation functions
   2019/07/25 by Terada, Yoshikazu, Hirose, Ryoma · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Convex Clustering through MM: An Efficient Algorithm to Perform Hierarchical Clustering
   2022/11/03 by Daniel J.W. Touw, Touw, Daniel J. W., Patrick J. F. Groenen +3 · 1 citation
   Computer Science · Engineering · #Advanced Clustering Algorithms Research #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Remote-Sensing Image Classification
4. Selective inference for the problem of regions via multiscale bootstrap
   2017/11/02 by Yoshikazu Terada, Terada, Yoshikazu, Hidetoshi Shimodaira +1 · 1 citation
   Computer Science · Mathematics · Earth and Planetary Sciences · #Bayesian Methods and Mixture Models #Morphological variations and asymmetry #Geology and Paleoclimatology Research
5. Nonparametric logistic regression with deep learning
   2024/01/23 by Atsutomo Yara, Yara, Atsutomo, Yoshikazu Terada +1 · 1 citation
   Mathematics · Decision Sciences · #Statistical Methods and Inference #Advanced Statistical Methods and Models #Multi-Criteria Decision Making